Implementing AI and Machine Learning (ML) for threat detection in cloud environments requires a comprehensive strategy that encompasses data collection, model training, real-time analysis, and continuous improvement. Here’s a detailed guide on how to leverage these technologies for enhancing cloud security. 1. Establish the Foundation Understand the Environment and Requirements: Inventory your cloud resources. Identify
Using machine learning (ML) for anomaly detection in network traffic is a sophisticated method that allows for the identification of unusual patterns or irregularities that deviate from the normal behavior within a network. These deviations might indicate potential security threats, such as data breaches, malware, or other cyberattacks. Below is a detailed guide on how